docs: add Trans4Map dataset card

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+language:
+- en
+license: apache-2.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- image-segmentation
+task_ids:
+- semantic-segmentation
+pretty_name: Trans4Map Semantic Top-Down Ground Truth Maps
+tags:
+- bird-eye-view
+- semantic-mapping
+- matterport3d
+- replica
+- bev-segmentation
+- wacv-2023
+---
+
+# Trans4Map Ground Truth Semantic Maps
+
+Official dataset repository containing top-down semantic ground truth maps for **Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers** (WACV 2023).
+
+- **GitHub Repository:** [InSAI-Lab/Trans4Map](https://github.com/InSAI-Lab/Trans4Map)
+- **Paper:** [arXiv:2207.06205](https://arxiv.org/abs/2207.06205)
+- **Model Checkpoints:** [InSAI-Lab/Trans4Map (Model Zoo)](https://huggingface.co/InSAI-Lab/Trans4Map)
+- **Collection:** [InSAI-Lab/Trans4Map & Egocentric Mapping](https://huggingface.co/collections/InSAI-Lab/trans4map-wacv-2023-6ad1f2a3c75d4b8e)
+
+---
+
+## Dataset Overview
+
+Trans4Map benchmarks holistic top-down bird's-eye-view (BEV) semantic mapping from egocentric observations in indoor environments (Matterport3D & Replica).
+This repository hosts the **top-down semantic ground truth maps (`.h5` files)** generated across Matterport3D environments following the Semantic-MapNet (SMNet) protocol.
+
+### Directory Structure
+
+```text
+data/
+└── semmap/
+    ├── 17DRP5sb8fy_0.h5
+    ├── 1LXtFkjw3qL_0.h5
+    ├── 1LXtFkjw3qL_1.h5
+    ├── ... (87 scene ground truth .h5 files)
+    └── zsNo4HB9uLZ_0.h5
+```
+
+Alternatively, download the full archive `semmap.tar.gz`.
+
+---
+
+## Download Instructions
+
+### Using Hugging Face CLI:
+
+```bash
+# Download the consolidated tar.gz archive
+hf download InSAI-Lab/Trans4Map semmap.tar.gz --type dataset --local-dir ./data
+
+# Extract to data/semmap
+tar -zxvf ./data/semmap.tar.gz -C ./data
+```
+
+### Using Python (`huggingface_hub`):
+
+```python
+from huggingface_hub import hf_hub_download
+import tarfile
+
+tar_path = hf_hub_download(
+    repo_id="InSAI-Lab/Trans4Map",
+    filename="semmap.tar.gz",
+    repo_type="dataset",
+    local_dir="./data"
+)
+with tarfile.open(tar_path, "r:gz") as tar:
+    tar.extractall("./data")
+```
+
+---
+
+## Citation
+
+```bibtex
+@inproceedings{chen2023trans4map,
+  title={Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers},
+  author={Chen, Chang and Zhang, Jiaming and Yang, Kailun and Peng, Kunyu and Stiefelhagen, Rainer},
+  booktitle={2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
+  year={2023}
+}
+```
+
+## License
+
+This dataset is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).